Generalized framework for computing the L∞-induced norm of sampled-data systems

作者：

Highlights：

• The L∞-induced norm of sampled-data systems is approximately computed within any degree of accuracy.

• The IA/KA approaches are generalized in terms of Taylor expansion.

• A method for leading to the highest accuracy is provided.

摘要

•The L∞-induced norm of sampled-data systems is approximately computed within any degree of accuracy.•The IA/KA approaches are generalized in terms of Taylor expansion.•A method for leading to the highest accuracy is provided.

论文关键词：Sampled-data systems,L∞-induced norm,Numerical methods

论文评审过程：Received 28 January 2022, Revised 8 June 2022, Accepted 30 August 2022, Available online 13 September 2022, Version of Record 13 September 2022.

论文官网地址：https://doi.org/10.1016/j.amc.2022.127518